DEVELOPMENT OF INTELLIGENT SYSTEMS FOR AUTOMATIC ASSESSMENT OF STUDENTS' ACADEMIC ACHIEVEMENTS

Autores/as

  • Yury Zavalevskyi Doctor of Pedagogical Sciences, Professor, First deputy of DNU «Institute of Modernization of the Content of Education» Kyiv, Ukraine https://orcid.org/0000-0003-1904-6642
  • Svitlana Kyrilenko PhD in Pedagogy, Head of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine https://orcid.org/0000-0002-2701-1303
  • Olga Kijan PhD in Pedagogy, Head of the Sector of Experimental Pedagogy, Department of Innovation Activity and Experimental Work, State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine https://orcid.org/0000-0002-0482-8898
  • Nataliya Bessarab PhD in Pedagogy, Researcher of the Pedagogical Innovations and Author’s Sector of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine, https://orcid.org/0000-0001-7930-2404
  • Svitlana Boiko PhD in Philosophy, Senior Researcher, Head of the Original Pedagogical Novelty Sector, Department of Innovation Activity, Research and Experimental Work, State Scientific Institution «Institute of Education Content Modernization» https://orcid.org/0000-0002-4999-4603

DOI:

https://doi.org/10.18316/rcd.v16i41.11437

Palabras clave:

artificial intelligence, participants of the educational process, automation, objectivity, problems

Resumen

 to analyse the development of artificial intelligence systems for automatic assessment of students' learning achievements. Methodology: to achieve this goal, the scientific methods of analysis and synthesis, content analysis, SWOT analysis, comparison, and typology were used. Results: it has been established that among the key advantages is a significant increase in the objectivity of the assessment of students' knowledge and skills. It is important to consider the acceleration of the process of checking the results, which saves time and effort for teachers. Another important advantage is the provision of real-time feedback during assessment. Scientific novelty: It has been established that one of the major problems is the possibility of bias and inequality in the educational system. Given that intelligent systems are based on certain algorithms, any bias or false information in the initial data can lead to biased results. Additional challenges include the excessive mechanisation of the assessment process, which does not always allow for the individual characteristics of each student, as well as ensuring appropriate protection of personal data. Conclusions: Intelligent student assessment systems are a powerful tool in countering corruption schemes in the educational system, especially in developing countries.

Biografía del autor/a

Yury Zavalevskyi, Doctor of Pedagogical Sciences, Professor, First deputy of DNU «Institute of Modernization of the Content of Education» Kyiv, Ukraine

Doctor of Pedagogical Sciences, Professor, First deputy of DNU «Institute of Modernization of the Content of Education» Kyiv, Ukraine

Svitlana Kyrilenko, PhD in Pedagogy, Head of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

PhD in Pedagogy, Head of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

Olga Kijan, PhD in Pedagogy, Head of the Sector of Experimental Pedagogy, Department of Innovation Activity and Experimental Work, State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

PhD in Pedagogy, Head of the Sector of Experimental Pedagogy, Department of Innovation Activity and Experimental Work, State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine

Nataliya Bessarab, PhD in Pedagogy, Researcher of the Pedagogical Innovations and Author’s Sector of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine,

PhD in Pedagogy, Researcher of the Pedagogical Innovations and Author’s Sector of the Department of Innovation, Research and Experimental Work State Scientific Institution «Institute of Education Content Modernization», Kyiv, Ukraine,

Svitlana Boiko, PhD in Philosophy, Senior Researcher, Head of the Original Pedagogical Novelty Sector, Department of Innovation Activity, Research and Experimental Work, State Scientific Institution «Institute of Education Content Modernization»

PhD in Philosophy, Senior Researcher, Head of the Original Pedagogical Novelty Sector, Department of Innovation Activity, Research and Experimental Work, State Scientific Institution «Institute of Education Content Modernization»

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Publicado

2024-02-07

Número

Vol. 16 Núm. 41 (2024)

Sección

Artigos

Licencia

Derechos de autor 2024 Yury Zavalevskyi, Svitlana Kyrilenko, Olga Kijan, Nataliya Bessarab, Svitlana Boiko

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